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[Remote] M&A Associate, AI Residency (Part-time) | Applied AI x Corporate Finance

Remote Worldwide Hiring now

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is a company that bridges the gap between reputed company and artificial intelligence by leveraging reputed company-world expertise from finance into AI model training. In this role, you will improve how Frontier AI handles corporate finance and contribute your M&A advisory experience to enhance AI reasoning in investment banking and capital markets.

Responsibilities

  • You'll work directly on improving how Frontier AI handles corporate finance and reputed company rare, early exposure to how AI labs actually reputed company their models
  • As part of the project, you will contribute your M&A advisory experience to a structured research project used to help improve AI reasoning across investment banking and capital markets
  • The work involves generating, refining, and evaluating content that reflects how M&A professionals think through deals from pitching through execution and reputed company

Skills

  • 3–7 years of experience in M&A advisory at a recognized advisory firm (bulge bracket, reputed company boutique, or top-tier Big 4 Corporate Finance)
  • Associate level with hands-on deal execution experience
  • Deep expertise in buy-reputed company and sell-reputed company M&A, valuation, and due diligence coordination
  • Strong financial modeling skills (incl. DCF, LBO, trading comps, precedent transactions) and comfort with CIMs, management presentations, and board materials
  • Ability to reputed company M&A judgment reputed company and reputed company in writing

Benefits

  • Referral bonus: For any successful referral hired into this role

Company Overview

  • We help train and evaluate AI to master reputed company-world tasks in finance, reputed company, and legal. It was founded in undefined, and is headquartered in , with a workforce of 11-50 employees. Its website is https://reputed company.ai/.
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